Triple
T15297065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Java Heat |
E365687
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Conor Allyn |
E1148106
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Conor Allyn | Statement: [Java Heat, writer, Conor Allyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conor Allyn Context triple: [Java Heat, writer, Conor Allyn]
-
A.
Conor Allyn
chosen
Conor Allyn is an American filmmaker and producer known for directing action and drama films, including international projects such as "Java Heat."
-
B.
Conor Leslie
Conor Leslie is an American actress known for her roles in television series such as "Titans," "The Man in the High Castle," and various film and commercial projects.
-
C.
Conor O’Neill
Conor O’Neill is a film editor known for his work on Michael Moore’s documentary "Capitalism: A Love Story."
-
D.
Conor
Conor is a masculine given name of Irish origin, commonly used in English-speaking countries.
-
E.
Conor O'Malley
Conor O'Malley is a notable individual who bears the Irish surname O'Malley, though specific widely recognized achievements or roles associated with him are not clearly established.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e036848c1881908fbaaae0216d6d27 |
completed | April 16, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef89bb46481908f27fa98eb6ac5c3 |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:15 a.m.